ambiguities in issuing and managing credit cards. Credit card fraudulent is approximately 1.2% of the total transaction amount‚ although it is not small amount as compare to total transaction amount which is in trillions of dollars in 2007[ 2-4] . Hidden Markov Model will be helpful to find out the fraudulent transaction by using spending profiles of user. It works on the user spending profiles which can be divided into major three types such as 1) Lower profile; 2) Middle profile; and 3) Higher profile
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Forecasting Trends in Time Series Author(s): Everette S. Gardner‚ Jr. and Ed. McKenzie Reviewed work(s): Source: Management Science‚ Vol. 31‚ No. 10 (Oct.‚ 1985)‚ pp. 1237-1246 Published by: INFORMS Stable URL: http://www.jstor.org/stable/2631713 . Accessed: 20/12/2012 02:05 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use‚ available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars‚ researchers
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ECON2209‚ Business Forecasting‚ 2014 S1 Course Project (14% + 3% in Total) 1. This project has a value of 14% of the total assessment. In addition‚ there is a teamwork component worth 3%. The teamwork mark will be based on the online self and peer assessment (see Teamwork Assessment section at the end of this document). 2. This project must be completed in a group of 3 or 4 students. The members of a group come from the same tutorial class. Groups have been alphabetically assigned. Each group
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PROBLEMS Carter Corporation’s sales are expected to increase from $5 million in 2006 to $6 million in 2007 or by 20 percent. Its assets totaled $3 million at the end of 2006. Carter is at full capacity‚ so its assets must grow at the same rate as projected sales. At the end of 2006‚ current liabilities were $1 million‚ consisting of $250‚000 of accounts payable‚ $500‚000 of notes payable‚ and $250‚000 of accruals. The after-tax profit margin is forecasted
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This act of making such prediction is therefore‚ called forecasting. Forecasts are never finished‚ they are needed continuously and as the time passes‚ their accuracy and their impact on actual performance are meas So it looks like that forecast in itself‚ is not too complicated‚ it becomes complicated once the word ?good? is attached to it. Thus‚ the forecast has to be well thought and planned so it can be called good or adequate forecasting. In order to prepare a forecast‚ one should first identify
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(Kwik Trend Analysis) Measure Value Future Period Forecast Error Measures 9. 1‚362‚143. Bias (Mean Error) -0.0156 10. 1‚455‚952. MAD (Mean Absolute Deviation) 50‚773.7969 11. 1‚549‚762. MSE (Mean Squared Error) 3‚498‚808‚832. 12. 1‚643‚572. Standard Error (denom=n-2=6) 68‚301.3828 13. 1‚737‚381. Regression line 14. 1‚831‚191. Demand (y) = 517857.2 15. 1‚925‚000. + 93‚809.5234 * Time (x) 16. 2‚018‚810. Statistics 17. 2‚112‚619. Correlation coefficient 0.9642 18. 2‚206‚429. Coefficient
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GAC013 Assessment Event2: Case Study Investigation Compare and Contrast Tsunamis and Volcanic Eruption Forecasting Student’s Name: Sissy Wang Student ID#: SHSA16374 Teacher: Kenny Due Date: 14th December 2011 Word Count: 1‚194 Table of Contents 1. Abstract Page 2 2. Introduction Page 2 3. Methodology Page 4 4. Finding Page 4 5. Discussion Page 6 6. Conclusions and Recommendations Page 6 7. Reference Page 7 Abstract With the development of science
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Answering the questions on the text: "Hard Rock Cafe - Forecasting" 1. Describe three different forecasting applications at Hard Rock. Name three other areas in which you think Hard Rock could use forecasting models. Hard rock café divide the forecast in long term methods where the expectations are to establish a better capacity plan and short term methods where they look for good contracts with suppliers for leather goods (clothes etc.) and definately to be more negotiable with the suppliers
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Forecasting: ABC Flower Shop Patrick Moran MGMT415-1104A-03: Global Operations Management American Inter-Continental University October 29‚ 2011 Abstract In this paper‚ we will discuss a quantifiable method of forecasting called moving averages. Forecasting entails comparing historical values to predicted values for the future. 3-day and 5-day moving average calculations using Excel will be explained as well as a graph based on the forecasted values will also be shown. Finally‚ a method
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FINANCIAL FORECASTING: RIORDAN MANUFACTURING Introduction Financial forecasting allows financial managers to anticipate events before they occur‚ particularly the need for raising funds externally. An important consideration is that growth may call for additional sources of financing because profit is often inadequate to cover the net buildup in receivables‚ inventory‚ and other asset accounts. When forecasting‚ one must take into account estimated future levels of receivables‚ inventory‚ payables
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